Dipl.-Inf., Darmstadt University of Applied Sciences, 1988
M.S., Computer Science, Iowa State University, 1990
Ph.D., Computer Science, Iowa State University, 1995
Computational epidemiology (modeling/simulation of infectious disease outbreaks), analysis and optimization of bio-emergency response plans, intelligent agents and multi-agent systems, heuristic and biologically inspired approaches for coordinating agents, agent-based modeling and simulation, bioinformatics, health informatics, environmental informatics, service assurance and security in networks/distributed systems, tools and middleware for distributed and collaborative computing environments, intelligent traffic management in large communication networks
Armin R. Mikler is a Professor and Chair of the Department of Computer Science at Georgia State University. He received his PhD in Computer Science from Iowa State University in 1995. As a professor of Computer Science and Engineering at the University of North Texas from 1997 -2020, Dr. Mikler directed the Center for Computational Epidemiology and Response Analysis (CeCERA). His research interests include Computational Epidemiology and Disaster Informatics with focus on data-driven response plan design and plan optimization.
Harsha Gwalani, Chetan Tiwari, Marty O’Neill II, and Armin R. Mikler, Creating Contiguous Service Areas Around Points of Dispensing for Resource Distribution During Bio-Emergencies, submitted to GeoInformatica on Nov. 14, 2021.
W Qian, S Bhowmick, M O’Neill, S Ramisetty-Mikler, Applying a Probabilistic Infection Model for studying contagion processes in contact networks. Journal of Computational Science, Vol. 54, September 2021, https://doi.org/10.1016/j.jocs.2021.101419
Harsha Gwalani, Chetan Tiwari, Armin R. Mikler, Evaluation of heuristics for the p-median problem: Scale and spatial demand distribution, Computers, Environment and Urban Systems, Volume 88, 2021, https://doi.org/10.1016/j.compenvurbsys.2021.101656.
Irany FA, Akwafuo SE, Abah T, Mikler AR. Estimating the Transmission Risk of COVID-19 in Nigeria: A Mathematical Modelling Approach. J Health Care and Research. 2020 Sept 05;1(3):135-43. DOI: 10.36502/2020/hcr.6171
Akwafuo, S. E., Mikler, A. R., & Irany, F. A. (2020). OPTIMIZATION MODELS FOR EMERGENCY RESPONSE AND POST-DISASTER DELIVERY LOGISTICS: A REVIEW OF CURRENT APPROACHES. International Journal of Engineering Technologies and Management Research, 7(8), 35-49. https://doi.org/10.29121/ijetmr.v7.i8.2020.738
Mikler, A. R. (1995). “Quo Vadis — A Framework for Intelligent Routing in Large Communication Networks.” Ph.D. Dissertation, Iowa State University, 1995.